Pandas Profiling Report

Dataset statistics

Number of variables	42
Number of observations	12973
Missing cells	51462
Missing cells (%)	9.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.2 MiB
Average record size in memory	336.0 B

Variable types

Numeric	20
Text	4
Categorical	12
DateTime	6

Alerts

`id_de_parliament` is highly overall correlated with `elecper` and 4 other fields	High correlation
`elecper` is highly overall correlated with `id_de_parliament` and 4 other fields	High correlation
`year_birth` is highly overall correlated with `id_de_parliament` and 3 other fields	High correlation
`party_elec` is highly overall correlated with `party_elecdet` and 3 other fields	High correlation
`party_elecdet` is highly overall correlated with `party_elec` and 3 other fields	High correlation
`districtvote` is highly overall correlated with `closeness_district` and 2 other fields	High correlation
`closeness_district` is highly overall correlated with `districtvote`	High correlation
`list` is highly overall correlated with `listpos` and 1 other fields	High correlation
`listpos` is highly overall correlated with `list` and 1 other fields	High correlation
`listpos_total` is highly overall correlated with `list` and 1 other fields	High correlation
`elecsafe_district` is highly overall correlated with `districtvote` and 2 other fields	High correlation
`elecsafe_list` is highly overall correlated with `elecsafe_overall` and 2 other fields	High correlation
`elecsafe_overall` is highly overall correlated with `elecsafe_list`	High correlation
`partyid_cmp` is highly overall correlated with `partyid_parlgov` and 2 other fields	High correlation
`partyid_ches` is highly overall correlated with `party_elec` and 3 other fields	High correlation
`partyid_parlgov` is highly overall correlated with `partyid_cmp` and 2 other fields	High correlation
`partyid_parlgov2` is highly overall correlated with `party_elec` and 4 other fields	High correlation
`id_de_parliament_string` is highly overall correlated with `id_de_parliament` and 4 other fields	High correlation
`mp_id_old` is highly overall correlated with `id_de_parliament` and 3 other fields	High correlation
`mandate` is highly overall correlated with `elecsafe_district` and 3 other fields	High correlation
`mandate_detailed` is highly overall correlated with `elecsafe_district` and 1 other fields	High correlation
`dualcand` is highly overall correlated with `elecsafe_list`	High correlation
`partyid_bl` is highly overall correlated with `id_de_parliament` and 9 other fields	High correlation
`office_spell` is highly imbalanced (76.5%)	Imbalance
`minister` is highly imbalanced (79.8%)	Imbalance
`junminister` is highly imbalanced (76.9%)	Imbalance
`parlpres` is highly imbalanced (91.9%)	Imbalance
`commchair` is highly imbalanced (56.8%)	Imbalance
`ppgchair` is highly imbalanced (68.2%)	Imbalance
`whip` is highly imbalanced (81.2%)	Imbalance
`district_id` has 1463 (11.3%) missing values	Missing
`districtvote` has 6595 (50.8%) missing values	Missing
`closeness_district` has 1463 (11.3%) missing values	Missing
`list` has 2195 (16.9%) missing values	Missing
`listpos` has 2511 (19.4%) missing values	Missing
`listpos_total` has 2623 (20.2%) missing values	Missing
`elecsafe_district` has 1782 (13.7%) missing values	Missing
`elecsafe_list` has 1782 (13.7%) missing values	Missing
`elecsafe_overall` has 1782 (13.7%) missing values	Missing
`partyid_ches` has 8462 (65.2%) missing values	Missing
`partyid_bl` has 12320 (95.0%) missing values	Missing
`partyid_parlgov2` has 6299 (48.6%) missing values	Missing
`mp_id_old` has 1735 (13.4%) missing values	Missing
`id_de_manow` has 343 (2.6%) missing values	Missing
`id_de_parliament` is highly skewed (γ1 = 81.98301462)	Skewed
`districtvote` is highly skewed (γ1 = 54.62250718)	Skewed
`id_de_parliament_string` is highly skewed (γ1 = 81.98301462)	Skewed
`elecsafe_district` has 807 (6.2%) zeros	Zeros
`elecsafe_list` has 1695 (13.1%) zeros	Zeros

Reproduction

Analysis started	2023-12-03 10:21:10.384626
Analysis finished	2023-12-03 10:21:58.645585
Duration	48.26 seconds
Software version	ydata-profiling vv4.6.0
Download configuration	config.json

id_de_parliament
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	4098
Distinct (%)	31.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11009738

Minimum	11000001
Maximum	66666664
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	11000001
5-th percentile	11000197
Q1	11000958
median	11001888
Q3	11002808
95-th percentile	11004297
Maximum	66666664
Range	55666663
Interquartile range (IQR)	1850

Descriptive statistics

Standard deviation	625963.25
Coefficient of variation (CV)	0.056855415
Kurtosis	6795.3146
Mean	11009738
Median Absolute Deviation (MAD)	926
Skewness	81.983015
Sum	1.4282934 × 10¹¹
Variance	3.9182999 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11001938	18	0.1%
11002531	17	0.1%
11001012	17	0.1%
11001512	16	0.1%
11000102	15	0.1%
11002525	14	0.1%
11001849	14	0.1%
11002270	14	0.1%
11000570	14	0.1%
11002444	13	0.1%
Other values (4088)	12821	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11000001	7	0.1%
11000002	6	< 0.1%
11000003	3	< 0.1%
11000004	2	< 0.1%
11000005	5	< 0.1%
11000007	4	< 0.1%
11000008	1	< 0.1%
11000009	7	0.1%
11000010	4	< 0.1%
11000011	4	< 0.1%

Value	Count	Frequency (%)
66666664	1	< 0.1%
55555556	1	< 0.1%
11004972	1	< 0.1%
11004971	1	< 0.1%
11004970	1	< 0.1%
11004969	1	< 0.1%
11004968	1	< 0.1%
11004967	1	< 0.1%
11004966	1	< 0.1%
11004962	1	< 0.1%

lastname
Text

Distinct	3432
Distinct (%)	26.5%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

Length

Max length	32
Median length	27
Mean length	7.337393
Min length	2

Characters and Unicode

Total characters	95188
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1004 ?
Unique (%)	7.7%

Sample

1st row	Abelein
2nd row	Abelein
3rd row	Abelein
4th row	Abelein
5th row	Abelein

Value	Count	Frequency (%)
schmidt	135	1.0%
mueller	120	0.9%
fischer	53	0.4%
schroeder	40	0.3%
schneider	40	0.3%
schaefer	36	0.3%
vogel	34	0.3%
jahn	34	0.3%
becker	33	0.3%
neumann	33	0.3%
Other values (3437)	12567	95.7%

Most occurring characters

Value	Count	Frequency (%)
e	14491	15.2%
r	8542	9.0%
n	6654	7.0%
a	5466	5.7%
i	4918	5.2%
l	4900	5.1%
h	4395	4.6%
t	4137	4.3%
s	3680	3.9%
c	3330	3.5%
Other values (47)	34675	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	80265	84.3%
Uppercase Letter	13582	14.3%
Other Symbol	578	0.6%
Dash Punctuation	481	0.5%
Space Separator	164	0.2%
Close Punctuation	59	0.1%
Open Punctuation	59	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14491	18.1%
r	8542	10.6%
n	6654	8.3%
a	5466	6.8%
i	4918	6.1%
l	4900	6.1%
h	4395	5.5%
t	4137	5.2%
s	3680	4.6%
c	3330	4.1%
Other values (16)	19752	24.6%

Uppercase Letter

Value	Count	Frequency (%)
S	2015	14.8%
B	1344	9.9%
H	1206	8.9%
K	1108	8.2%
M	959	7.1%
W	950	7.0%
L	755	5.6%
R	724	5.3%
G	720	5.3%
F	536	3.9%
Other values (14)	3265	24.0%

Close Punctuation

Value	Count	Frequency (%)
)	58	98.3%
]	1	1.7%

Open Punctuation

Value	Count	Frequency (%)
(	58	98.3%
[	1	1.7%

Other Symbol

Value	Count	Frequency (%)
�	578	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	481	100.0%

Space Separator

Value	Count	Frequency (%)
	164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	93847	98.6%
Common	1341	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14491	15.4%
r	8542	9.1%
n	6654	7.1%
a	5466	5.8%
i	4918	5.2%
l	4900	5.2%
h	4395	4.7%
t	4137	4.4%
s	3680	3.9%
c	3330	3.5%
Other values (40)	33334	35.5%

Common

Value	Count	Frequency (%)
�	578	43.1%
-	481	35.9%
	164	12.2%
)	58	4.3%
(	58	4.3%
[	1	0.1%
]	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94610	99.4%
Specials	578	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14491	15.3%
r	8542	9.0%
n	6654	7.0%
a	5466	5.8%
i	4918	5.2%
l	4900	5.2%
h	4395	4.6%
t	4137	4.4%
s	3680	3.9%
c	3330	3.5%
Other values (46)	34097	36.0%

Specials

Value	Count	Frequency (%)
�	578	100.0%

firstname
Text

Distinct	1473
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

Length

Max length	37
Median length	34
Mean length	7.1416789
Min length	3

Characters and Unicode

Total characters	92649
Distinct characters	58
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	491 ?
Unique (%)	3.8%

Sample

1st row	Manfred
2nd row	Manfred
3rd row	Manfred
4th row	Manfred
5th row	Manfred

Value	Count	Frequency (%)
hans	328	2.3%
peter	321	2.2%
karl	314	2.2%
wolfgang	276	1.9%
hermann	250	1.7%
josef	217	1.5%
heinrich	210	1.4%
franz	188	1.3%
klaus	186	1.3%
wilhelm	185	1.3%
Other values (985)	12018	82.9%

Most occurring characters

Value	Count	Frequency (%)
e	9764	10.5%
r	9655	10.4%
a	8152	8.8%
n	6695	7.2%
i	6180	6.7%
t	5034	5.4%
l	4962	5.4%
o	3621	3.9%
s	3202	3.5%
h	3166	3.4%
Other values (48)	32218	34.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75002	81.0%
Uppercase Letter	15154	16.4%
Space Separator	1527	1.6%
Dash Punctuation	657	0.7%
Other Symbol	155	0.2%
Other Punctuation	88	0.1%
Open Punctuation	33	< 0.1%
Close Punctuation	33	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9764	13.0%
r	9655	12.9%
a	8152	10.9%
n	6695	8.9%
i	6180	8.2%
t	5034	6.7%
l	4962	6.6%
o	3621	4.8%
s	3202	4.3%
h	3166	4.2%
Other values (15)	14571	19.4%

Uppercase Letter

Value	Count	Frequency (%)
H	2222	14.7%
W	1149	7.6%
K	1091	7.2%
A	1047	6.9%
M	1027	6.8%
J	971	6.4%
G	954	6.3%
E	924	6.1%
R	775	5.1%
F	715	4.7%
Other values (15)	4279	28.2%

Other Punctuation

Value	Count	Frequency (%)
.	84	95.5%
\	2	2.3%
"	2	2.3%

Space Separator

Value	Count	Frequency (%)
	1527	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	657	100.0%

Other Symbol

Value	Count	Frequency (%)
�	155	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	33	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	90156	97.3%
Common	2493	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9764	10.8%
r	9655	10.7%
a	8152	9.0%
n	6695	7.4%
i	6180	6.9%
t	5034	5.6%
l	4962	5.5%
o	3621	4.0%
s	3202	3.6%
h	3166	3.5%
Other values (40)	29725	33.0%

Common

Value	Count	Frequency (%)
	1527	61.3%
-	657	26.4%
�	155	6.2%
.	84	3.4%
(	33	1.3%
)	33	1.3%
\	2	0.1%
"	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92494	99.8%
Specials	155	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9764	10.6%
r	9655	10.4%
a	8152	8.8%
n	6695	7.2%
i	6180	6.7%
t	5034	5.4%
l	4962	5.4%
o	3621	3.9%
s	3202	3.5%
h	3166	3.4%
Other values (47)	32063	34.7%

Specials

Value	Count	Frequency (%)
�	155	100.0%

elecper
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.560163

Minimum	1
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	11
Q3	15
95-th percentile	19
Maximum	19
Range	18
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.4863684
Coefficient of variation (CV)	0.51953442
Kurtosis	-1.1755436
Mean	10.560163
Median Absolute Deviation (MAD)	5
Skewness	-0.11084286
Sum	136997
Variance	30.100238
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
19	933	7.2%
12	805	6.2%
18	802	6.2%
11	775	6.0%
14	768	5.9%
13	723	5.6%
16	680	5.2%
9	677	5.2%
17	674	5.2%
15	654	5.0%
Other values (9)	5482	42.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	556	4.3%
2	621	4.8%
3	596	4.6%
4	641	4.9%
5	637	4.9%
6	588	4.5%
7	614	4.7%
8	597	4.6%
9	677	5.2%
10	632	4.9%

Value	Count	Frequency (%)
19	933	7.2%
18	802	6.2%
17	674	5.2%
16	680	5.2%
15	654	5.0%
14	768	5.9%
13	723	5.6%
12	805	6.2%
11	775	6.0%
10	632	4.9%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

1	10427
0	2546

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	10427	80.4%
0	2546	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	10427	80.4%
0	2546	19.6%

Most occurring characters

Value	Count	Frequency (%)
1	10427	80.4%
0	2546	19.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	10427	80.4%
0	2546	19.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	10427	80.4%
0	2546	19.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	10427	80.4%
0	2546	19.6%

year_birth
Real number (ℝ)

HIGH CORRELATION

Distinct	118
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1935.9913

Minimum	1875
Maximum	1992
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1875
5-th percentile	1897
Q1	1920
median	1939
Q3	1952
95-th percentile	1972
Maximum	1992
Range	117
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	22.696016
Coefficient of variation (CV)	0.011723202
Kurtosis	-0.64221048
Mean	1935.9913
Median Absolute Deviation (MAD)	16
Skewness	-0.17601542
Sum	25115615
Variance	515.10916
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1943	331	2.6%
1942	283	2.2%
1949	270	2.1%
1944	265	2.0%
1940	256	2.0%
1939	255	2.0%
1941	247	1.9%
1929	242	1.9%
1952	232	1.8%
1936	219	1.7%
Other values (108)	10373	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1875	1	< 0.1%
1876	8	0.1%
1877	1	< 0.1%
1878	2	< 0.1%
1879	6	< 0.1%
1880	8	0.1%
1881	12	0.1%
1882	3	< 0.1%
1883	11	0.1%
1884	14	0.1%

Value	Count	Frequency (%)
1992	2	< 0.1%
1991	2	< 0.1%
1990	3	< 0.1%
1989	12	0.1%
1988	2	< 0.1%
1987	12	0.1%
1986	14	0.1%
1985	18	0.1%
1984	22	0.2%
1983	22	0.2%

date_birth
Date

Distinct	3861
Distinct (%)	29.8%
Missing	1
Missing (%)	< 0.1%
Memory size	101.5 KiB

Minimum	1875-12-14 00:00:00
Maximum	1992-12-12 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

date_birth_text
Date

Distinct	3863
Distinct (%)	29.8%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

Minimum	1875-12-14 00:00:00
Maximum	1992-12-12 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

mandate_start
Date

Distinct	685
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

Minimum	1949-09-07 00:00:00
Maximum	2021-08-19 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

mandate_end
Date

Distinct	687
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

Minimum	1949-09-15 00:00:00
Maximum	2021-10-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

office_spell
Categorical

IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

1.0	11638
2.0	1155
3.0	161
4.0	16
5.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	38919
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	11638	89.7%
2.0	1155	8.9%
3.0	161	1.2%
4.0	16	0.1%
5.0	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	11638	89.7%
2.0	1155	8.9%
3.0	161	1.2%
4.0	16	0.1%
5.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	12973	33.3%
0	12973	33.3%
1	11638	29.9%
2	1155	3.0%
3	161	0.4%
4	16	< 0.1%
5	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	25946	66.7%
Other Punctuation	12973	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12973	50.0%
1	11638	44.9%
2	1155	4.5%
3	161	0.6%
4	16	0.1%
5	3	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	12973	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	38919	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	12973	33.3%
0	12973	33.3%
1	11638	29.9%
2	1155	3.0%
3	161	0.4%
4	16	< 0.1%
5	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38919	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	12973	33.3%
0	12973	33.3%
1	11638	29.9%
2	1155	3.0%
3	161	0.4%
4	16	< 0.1%
5	3	< 0.1%

spell_start
Date

Distinct	1363
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

Minimum	1949-09-07 00:00:00
Maximum	2021-08-19 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

spell_end
Date

Distinct	1361
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

Minimum	1949-09-12 00:00:00
Maximum	2021-10-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

party_elec
Real number (ℝ)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5279427

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	99
Range	98
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.8856178
Coefficient of variation (CV)	1.1414886
Kurtosis	392.98655
Mean	2.5279427
Median Absolute Deviation (MAD)	1
Skewness	13.616061
Sum	32795
Variance	8.3267901
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	4682	36.1%
2	4542	35.0%
4	1223	9.4%
3	1112	8.6%
5	636	4.9%
6	437	3.4%
11	225	1.7%
19	112	0.9%
99	4	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4682	36.1%
2	4542	35.0%
3	1112	8.6%
4	1223	9.4%
5	636	4.9%
6	437	3.4%
11	225	1.7%
19	112	0.9%
99	4	< 0.1%

Value	Count	Frequency (%)
99	4	< 0.1%
19	112	0.9%
11	225	1.7%
6	437	3.4%
5	636	4.9%
4	1223	9.4%
3	1112	8.6%
2	4542	35.0%
1	4682	36.1%

party_elecdet
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5515301

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	99
Range	98
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.3444327
Coefficient of variation (CV)	1.3107557
Kurtosis	429.8322
Mean	2.5515301
Median Absolute Deviation (MAD)	1
Skewness	16.159997
Sum	33101
Variance	11.18523
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	4681	36.1%
2	4542	35.0%
4	1203	9.3%
3	1112	8.6%
5	644	5.0%
6	437	3.4%
19	109	0.8%
10	76	0.6%
7	38	0.3%
8	31	0.2%
Other values (9)	100	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4681	36.1%
2	4542	35.0%
3	1112	8.6%
4	1203	9.3%
5	644	5.0%
6	437	3.4%
7	38	0.3%
8	31	0.2%
9	17	0.1%
10	76	0.6%

Value	Count	Frequency (%)
99	8	0.1%
19	109	0.8%
18	3	< 0.1%
17	2	< 0.1%
16	1	< 0.1%
15	24	0.2%
14	19	0.1%
13	20	0.2%
11	6	< 0.1%
10	76	0.6%

mandate
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

0	7103
1	5870

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	7103	54.8%
1	5870	45.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7103	54.8%
1	5870	45.2%

Most occurring characters

Value	Count	Frequency (%)
0	7103	54.8%
1	5870	45.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7103	54.8%
1	5870	45.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7103	54.8%
1	5870	45.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7103	54.8%
1	5870	45.2%

mandate_detailed
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

2	6231
1	5856
4	727
3	145
5	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	6231	48.0%
1	5856	45.1%
4	727	5.6%
3	145	1.1%
5	14	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	6231	48.0%
1	5856	45.1%
4	727	5.6%
3	145	1.1%
5	14	0.1%

Most occurring characters

Value	Count	Frequency (%)
2	6231	48.0%
1	5856	45.1%
4	727	5.6%
3	145	1.1%
5	14	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	6231	48.0%
1	5856	45.1%
4	727	5.6%
3	145	1.1%
5	14	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	6231	48.0%
1	5856	45.1%
4	727	5.6%
3	145	1.1%
5	14	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	6231	48.0%
1	5856	45.1%
4	727	5.6%
3	145	1.1%
5	14	0.1%

dualcand
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

1	9455
0	3518

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	9455	72.9%
0	3518	27.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	9455	72.9%
0	3518	27.1%

Most occurring characters

Value	Count	Frequency (%)
1	9455	72.9%
0	3518	27.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	9455	72.9%
0	3518	27.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	9455	72.9%
0	3518	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	9455	72.9%
0	3518	27.1%

district_id
Real number (ℝ)

MISSING

Distinct	328
Distinct (%)	2.8%
Missing	1463
Missing (%)	11.3%
Infinite	0
Infinite (%)	0.0%
Mean	138.49557

Minimum	1
Maximum	328
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1
5-th percentile	14
Q1	69
median	136
Q3	204
95-th percentile	277
Maximum	328
Range	327
Interquartile range (IQR)	135

Descriptive statistics

Standard deviation	81.866602
Coefficient of variation (CV)	0.59111351
Kurtosis	-0.97830045
Mean	138.49557
Median Absolute Deviation (MAD)	67
Skewness	0.15492446
Sum	1594084
Variance	6702.1405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
188	60	0.5%
69	58	0.4%
100	57	0.4%
140	57	0.4%
131	56	0.4%
97	56	0.4%
10	56	0.4%
163	55	0.4%
141	55	0.4%
78	54	0.4%
Other values (318)	10946	84.4%
(Missing)	1463	11.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	36	0.3%
2	36	0.3%
3	41	0.3%
4	40	0.3%
5	42	0.3%
6	38	0.3%
7	53	0.4%
8	40	0.3%
9	42	0.3%
10	56	0.4%

Value	Count	Frequency (%)
328	10	0.1%
327	5	< 0.1%
326	5	< 0.1%
325	3	< 0.1%
324	6	< 0.1%
323	7	0.1%
322	4	< 0.1%
321	3	< 0.1%
320	5	< 0.1%
319	9	0.1%

districtvote
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	1526
Distinct (%)	23.9%
Missing	6595
Missing (%)	50.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.47831726

Minimum	0.030305019
Maximum	48.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	0.030305019
5-th percentile	0.1693653
Q1	0.415
median	0.478
Q3	0.53735728
95-th percentile	0.647
Maximum	48.9
Range	48.869695
Interquartile range (IQR)	0.12235728

Descriptive statistics

Standard deviation	0.86713661
Coefficient of variation (CV)	1.8128901
Kurtosis	3049.332
Mean	0.47831726
Median Absolute Deviation (MAD)	0.061
Skewness	54.622507
Sum	3050.7075
Variance	0.75192591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.469	41	0.3%
0.488	40	0.3%
0.486	39	0.3%
0.501	39	0.3%
0.477	38	0.3%
0.483	38	0.3%
0.479	37	0.3%
0.49	37	0.3%
0.485	37	0.3%
0.474	35	0.3%
Other values (1516)	5997	46.2%
(Missing)	6595	50.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.03030501865	1	< 0.1%
0.03500933573	1	< 0.1%
0.03593908623	1	< 0.1%
0.03929926082	1	< 0.1%
0.04234809056	2	< 0.1%
0.04536836222	1	< 0.1%
0.04541448131	1	< 0.1%
0.04542474449	1	< 0.1%
0.04573408887	1	< 0.1%
0.04603046179	2	< 0.1%

Value	Count	Frequency (%)
48.9	2	< 0.1%
0.82	1	< 0.1%
0.819	2	< 0.1%
0.802	1	< 0.1%
0.8	1	< 0.1%
0.796	2	< 0.1%
0.794	1	< 0.1%
0.791	1	< 0.1%
0.777	1	< 0.1%
0.772	2	< 0.1%

closeness_district
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	5388
Distinct (%)	46.8%
Missing	1463
Missing (%)	11.3%
Infinite	0
Infinite (%)	0.0%
Mean	0.15733776

Minimum	0
Maximum	0.74558337
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.011869436
Q1	0.061072528
median	0.12996608
Q3	0.23175901
95-th percentile	0.39154502
Maximum	0.74558337
Range	0.74558337
Interquartile range (IQR)	0.17068648

Descriptive statistics

Standard deviation	0.12078013
Coefficient of variation (CV)	0.76764876
Kurtosis	0.54200946
Mean	0.15733776
Median Absolute Deviation (MAD)	0.079022462
Skewness	0.94542883
Sum	1810.9576
Variance	0.014587841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.05799999833	13	0.1%
0.201000005	12	0.1%
0.2649999857	11	0.1%
0.04399999976	10	0.1%
0.08600000292	10	0.1%
0.09300000221	10	0.1%
0.003000000026	9	0.1%
0.1770000011	9	0.1%
0.04100000113	9	0.1%
0.1469999999	8	0.1%
Other values (5378)	11409	87.9%
(Missing)	1463	11.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
0.0001193295515	2	< 0.1%
0.0001274707415	2	< 0.1%
0.0001554085152	4	< 0.1%
0.0002140987479	1	< 0.1%
0.0002601637297	2	< 0.1%
0.0002954295314	3	< 0.1%
0.0003683995088	2	< 0.1%
0.0004321332064	3	< 0.1%
0.0004407349255	2	< 0.1%

Value	Count	Frequency (%)
0.7455833727	1	< 0.1%
0.7098927795	1	< 0.1%
0.703929966	2	< 0.1%
0.6995185003	1	< 0.1%
0.6926352573	1	< 0.1%
0.6925889467	1	< 0.1%
0.6844805195	2	< 0.1%
0.6800405336	1	< 0.1%
0.6753564507	1	< 0.1%
0.6523922627	2	< 0.1%

list
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	19
Distinct (%)	0.2%
Missing	2195
Missing (%)	16.9%
Infinite	0
Infinite (%)	0.0%
Mean	4.7746335

Minimum	1
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	7
95-th percentile	13
Maximum	19
Range	18
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.953187
Coefficient of variation (CV)	0.8279561
Kurtosis	0.59744481
Mean	4.7746335
Median Absolute Deviation (MAD)	3
Skewness	1.1666022
Sum	51461
Variance	15.627687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	2641	20.4%
2	1448	11.2%
4	1292	10.0%
3	1103	8.5%
5	1027	7.9%
7	606	4.7%
8	514	4.0%
9	481	3.7%
13	335	2.6%
6	271	2.1%
Other values (9)	1060	8.2%
(Missing)	2195	16.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2641	20.4%
2	1448	11.2%
3	1103	8.5%
4	1292	10.0%
5	1027	7.9%
6	271	2.1%
7	606	4.7%
8	514	4.0%
9	481	3.7%
10	198	1.5%

Value	Count	Frequency (%)
19	7	0.1%
18	29	0.2%
17	6	< 0.1%
16	120	0.9%
15	182	1.4%
14	124	1.0%
13	335	2.6%
12	191	1.5%
11	203	1.6%
10	198	1.5%

listpos
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	89
Distinct (%)	0.9%
Missing	2511
Missing (%)	19.4%
Infinite	0
Infinite (%)	0.0%
Mean	12.20866

Minimum	1
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	16
95-th percentile	42
Maximum	94
Range	93
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	13.629584
Coefficient of variation (CV)	1.1163866
Kurtosis	5.5459727
Mean	12.20866
Median Absolute Deviation (MAD)	5
Skewness	2.1875291
Sum	127727
Variance	185.76556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1103	8.5%
2	969	7.5%
3	849	6.5%
4	734	5.7%
5	636	4.9%
6	548	4.2%
7	470	3.6%
8	420	3.2%
9	382	2.9%
10	341	2.6%
Other values (79)	4010	30.9%
(Missing)	2511	19.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1103	8.5%
2	969	7.5%
3	849	6.5%
4	734	5.7%
5	636	4.9%
6	548	4.2%
7	470	3.6%
8	420	3.2%
9	382	2.9%
10	341	2.6%

Value	Count	Frequency (%)
94	1	< 0.1%
89	2	< 0.1%
88	2	< 0.1%
87	2	< 0.1%
86	3	< 0.1%
85	1	< 0.1%
84	2	< 0.1%
83	1	< 0.1%
81	4	< 0.1%
80	4	< 0.1%

listpos_total
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	107
Distinct (%)	1.0%
Missing	2623
Missing (%)	20.2%
Infinite	0
Infinite (%)	0.0%
Mean	51.234879

Minimum	3
Maximum	152
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	3
5-th percentile	11
Q1	28
median	47
Q3	70
95-th percentile	115
Maximum	152
Range	149
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	30.36002
Coefficient of variation (CV)	0.59256546
Kurtosis	0.34193372
Mean	51.234879
Median Absolute Deviation (MAD)	21
Skewness	0.7905838
Sum	530281
Variance	921.7308
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	314	2.4%
89	296	2.3%
80	250	1.9%
63	248	1.9%
40	242	1.9%
36	240	1.8%
60	222	1.7%
30	209	1.6%
12	204	1.6%
25	201	1.5%
Other values (97)	7924	61.1%
(Missing)	2623	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	< 0.1%
4	11	0.1%
5	40	0.3%
6	79	0.6%
7	64	0.5%
8	54	0.4%
9	58	0.4%
10	175	1.3%
11	84	0.6%
12	204	1.6%

Value	Count	Frequency (%)
152	47	0.4%
151	47	0.4%
136	30	0.2%
124	34	0.3%
123	66	0.5%
122	28	0.2%
121	35	0.3%
120	45	0.3%
118	51	0.4%
117	51	0.4%

elecsafe_district
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	9278
Distinct (%)	82.9%
Missing	1782
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.43916823

Minimum	0
Maximum	1
Zeros	807
Zeros (%)	6.2%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.0039665741
median	0.35896128
Q3	0.91455752
95-th percentile	0.99934029
Maximum	1
Range	1
Interquartile range (IQR)	0.91059095

Descriptive statistics

Standard deviation	0.41475403
Coefficient of variation (CV)	0.9444081
Kurtosis	-1.6963852
Mean	0.43916823
Median Absolute Deviation (MAD)	0.35881036
Skewness	0.2020888
Sum	4914.7316
Variance	0.17202091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	807	6.2%
1	8	0.1%
0.003976718	5	< 0.1%
0.053469744	5	< 0.1%
0.9727668	5	< 0.1%
0.99808747	4	< 0.1%
0.0021558153	4	< 0.1%
0.9959763	4	< 0.1%
0.028821371	4	< 0.1%
0.9615659	4	< 0.1%
Other values (9268)	10341	79.7%
(Missing)	1782	13.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	807	6.2%
6.104203 × 10^-14	1	< 0.1%
3.0204227 × 10^-13	1	< 0.1%
1.4252041 × 10^-12	1	< 0.1%
3.2304855 × 10^-12	1	< 0.1%
4.1129405 × 10^-12	1	< 0.1%
4.757858 × 10^-12	1	< 0.1%
9.232058 × 10^-12	1	< 0.1%
9.885444 × 10^-12	1	< 0.1%
1.0692277 × 10^-11	1	< 0.1%

Value	Count	Frequency (%)
1	8	0.1%
0.99999994	3	< 0.1%
0.9999999	2	< 0.1%
0.9999998	1	< 0.1%
0.99999976	1	< 0.1%
0.9999997	1	< 0.1%
0.99999964	1	< 0.1%
0.9999996	2	< 0.1%
0.9999995	1	< 0.1%
0.999999	1	< 0.1%

elecsafe_list
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	7166
Distinct (%)	64.0%
Missing	1782
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.59242183

Minimum	0
Maximum	1
Zeros	1695
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.044417254
median	0.8011186
Q3	0.99900235
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0.9545851

Descriptive statistics

Standard deviation	0.42692508
Coefficient of variation (CV)	0.72064374
Kurtosis	-1.6267218
Mean	0.59242183
Median Absolute Deviation (MAD)	0.1988814
Skewness	-0.39255356
Sum	6629.7927
Variance	0.18226503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1695	13.1%
1	844	6.5%
0.99999994	123	0.9%
0.9999999	63	0.5%
0.99999976	31	0.2%
0.9999997	29	0.2%
0.9999998	27	0.2%
0.9999996	19	0.1%
0.99999934	18	0.1%
0.99999946	16	0.1%
Other values (7156)	8326	64.2%
(Missing)	1782	13.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1695	13.1%
2.8512329 × 10^-22	1	< 0.1%
1.8335192 × 10^-20	1	< 0.1%
2.2296522 × 10^-19	1	< 0.1%
5.127288 × 10^-19	1	< 0.1%
6.31492 × 10^-19	1	< 0.1%
6.2350418 × 10^-18	1	< 0.1%
1.3826948 × 10^-17	1	< 0.1%
2.558272 × 10^-17	1	< 0.1%
6.395317 × 10^-17	1	< 0.1%

Value	Count	Frequency (%)
1	844	6.5%
0.99999994	123	0.9%
0.9999999	63	0.5%
0.9999998	27	0.2%
0.99999976	31	0.2%
0.9999997	29	0.2%
0.99999964	15	0.1%
0.9999996	19	0.1%
0.9999995	11	0.1%
0.99999946	16	0.1%

elecsafe_overall
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	8421
Distinct (%)	75.2%
Missing	1782
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.85927793

Minimum	1.0863167 × 10^-12
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	1.0863167 × 10^-12
5-th percentile	0.24567127
Q1	0.82629905
median	0.9872684
Q3	0.9998078
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0.17350875

Descriptive statistics

Standard deviation	0.24006956
Coefficient of variation (CV)	0.27938523
Kurtosis	3.0943745
Mean	0.85927793
Median Absolute Deviation (MAD)	0.0127316
Skewness	-1.9851637
Sum	9616.1793
Variance	0.057633396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	936	7.2%
0.99999994	150	1.2%
0.9999999	71	0.5%
0.99999976	34	0.3%
0.9999998	32	0.2%
0.9999997	30	0.2%
0.9999996	25	0.2%
0.99999964	19	0.1%
0.9999989	17	0.1%
0.9999993	16	0.1%
Other values (8411)	9861	76.0%
(Missing)	1782	13.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.0863167 × 10^-12	1	< 0.1%
2.639847 × 10^-10	1	< 0.1%
8.444629 × 10^-10	1	< 0.1%
1.027684 × 10^-9	1	< 0.1%
1.3739001 × 10^-9	1	< 0.1%
3.4957903 × 10^-9	1	< 0.1%
1.4471388 × 10^-8	1	< 0.1%
2.6144459 × 10^-8	1	< 0.1%
1.2395564 × 10^-7	1	< 0.1%
1.8579316 × 10^-7	1	< 0.1%

Value	Count	Frequency (%)
1	936	7.2%
0.99999994	150	1.2%
0.9999999	71	0.5%
0.9999998	32	0.2%
0.99999976	34	0.3%
0.9999997	30	0.2%
0.99999964	19	0.1%
0.9999996	25	0.2%
0.9999995	16	0.1%
0.99999946	16	0.1%

minister
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

0	12565
1	408

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12565	96.9%
1	408	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12565	96.9%
1	408	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	12565	96.9%
1	408	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12565	96.9%
1	408	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12565	96.9%
1	408	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12565	96.9%
1	408	3.1%

junminister
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

0	12486
1	487

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12486	96.2%
1	487	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12486	96.2%
1	487	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	12486	96.2%
1	487	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12486	96.2%
1	487	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12486	96.2%
1	487	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12486	96.2%
1	487	3.8%

parlpres
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

0	12843
1	130

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12843	99.0%
1	130	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12843	99.0%
1	130	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	12843	99.0%
1	130	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12843	99.0%
1	130	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12843	99.0%
1	130	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12843	99.0%
1	130	1.0%

commchair
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

0	11822
1	1151

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11822	91.1%
1	1151	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11822	91.1%
1	1151	8.9%

Most occurring characters

Value	Count	Frequency (%)
0	11822	91.1%
1	1151	8.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11822	91.1%
1	1151	8.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11822	91.1%
1	1151	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11822	91.1%
1	1151	8.9%

ppgchair
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

0	12225
1	748

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12225	94.2%
1	748	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12225	94.2%
1	748	5.8%

Most occurring characters

Value	Count	Frequency (%)
0	12225	94.2%
1	748	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12225	94.2%
1	748	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12225	94.2%
1	748	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12225	94.2%
1	748	5.8%

whip
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.5 KiB

0	12599
1	374

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12973
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12599	97.1%
1	374	2.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12599	97.1%
1	374	2.9%

Most occurring characters

Value	Count	Frequency (%)
0	12599	97.1%
1	374	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12973	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12599	97.1%
1	374	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	12973	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12599	97.1%
1	374	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12599	97.1%
1	374	2.9%

partyid_cmp
Real number (ℝ)

HIGH CORRELATION

Distinct	18
Distinct (%)	0.1%
Missing	33
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	41415.326

Minimum	41111
Maximum	41953
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	41111
5-th percentile	41220
Q1	41320
median	41420
Q3	41521
95-th percentile	41521
Maximum	41953
Range	842
Interquartile range (IQR)	201

Descriptive statistics

Standard deviation	135.56217
Coefficient of variation (CV)	0.0032732368
Kurtosis	2.0056342
Mean	41415.326
Median Absolute Deviation (MAD)	101
Skewness	0.31235453
Sum	5.3591432 × 10⁸
Variance	18377.101
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
41521	5654	43.6%
41320	4682	36.1%
41420	1220	9.4%
41113	469	3.6%
41222	221	1.7%
41111	164	1.3%
41221	112	0.9%
41953	112	0.9%
41223	80	0.6%
41620	76	0.6%
Other values (8)	150	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
41111	164	1.3%
41112	11	0.1%
41113	469	3.6%
41220	20	0.2%
41221	112	0.9%
41222	221	1.7%
41223	80	0.6%
41320	4682	36.1%
41420	1220	9.4%
41521	5654	43.6%

Value	Count	Frequency (%)
41953	112	0.9%
41951	38	0.3%
41912	1	< 0.1%
41911	31	0.2%
41712	6	< 0.1%
41711	19	0.1%
41620	76	0.6%
41522	24	0.2%
41521	5654	43.6%
41420	1220	9.4%

partyid_ches
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	7
Distinct (%)	0.2%
Missing	8462
Missing (%)	65.2%
Infinite	0
Infinite (%)	0.0%
Mean	302.9335

Minimum	301
Maximum	310
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	301
5-th percentile	301
Q1	301
median	302
Q3	304
95-th percentile	308
Maximum	310
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.3605239
Coefficient of variation (CV)	0.0077922181
Kurtosis	1.0486841
Mean	302.9335
Median Absolute Deviation (MAD)	1
Skewness	1.4316355
Sum	1366533
Variance	5.5720729
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
302	1473	11.4%
301	1430	11.0%
304	419	3.2%
303	371	2.9%
308	356	2.7%
306	350	2.7%
310	112	0.9%
(Missing)	8462	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
301	1430	11.0%
302	1473	11.4%
303	371	2.9%
304	419	3.2%
306	350	2.7%
308	356	2.7%
310	112	0.9%

Value	Count	Frequency (%)
310	112	0.9%
308	356	2.7%
306	350	2.7%
304	419	3.2%
303	371	2.9%
302	1473	11.4%
301	1430	11.0%

partyid_bl
Categorical

HIGH CORRELATION MISSING

Distinct	5
Distinct (%)	0.8%
Missing	12320
Missing (%)	95.0%
Memory size	101.5 KiB

307.0	266
44.0	266
135.0	61
122.0	58
249.0	2

Length

Max length	5
Median length	5
Mean length	4.5926493
Min length	4

Characters and Unicode

Total characters	2999
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	307.0
2nd row	307.0
3rd row	307.0
4th row	44.0
5th row	307.0

Common Values

Value	Count	Frequency (%)
307.0	266	2.1%
44.0	266	2.1%
135.0	61	0.5%
122.0	58	0.4%
249.0	2	< 0.1%
(Missing)	12320	95.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
307.0	266	40.7%
44.0	266	40.7%
135.0	61	9.3%
122.0	58	8.9%
249.0	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	919	30.6%
.	653	21.8%
4	534	17.8%
3	327	10.9%
7	266	8.9%
1	119	4.0%
2	118	3.9%
5	61	2.0%
9	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2346	78.2%
Other Punctuation	653	21.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	919	39.2%
4	534	22.8%
3	327	13.9%
7	266	11.3%
1	119	5.1%
2	118	5.0%
5	61	2.6%
9	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	653	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2999	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	919	30.6%
.	653	21.8%
4	534	17.8%
3	327	10.9%
7	266	8.9%
1	119	4.0%
2	118	3.9%
5	61	2.0%
9	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2999	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	919	30.6%
.	653	21.8%
4	534	17.8%
3	327	10.9%
7	266	8.9%
1	119	4.0%
2	118	3.9%
5	61	2.0%
9	2	0.1%

partyid_parlgov
Real number (ℝ)

HIGH CORRELATION

Distinct	13
Distinct (%)	0.1%
Missing	10
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1106.2759

Minimum	137
Maximum	2253
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	137
5-th percentile	543
Q1	558
median	772
Q3	1727
95-th percentile	1727
Maximum	2253
Range	2116
Interquartile range (IQR)	1169

Descriptive statistics

Standard deviation	574.5149
Coefficient of variation (CV)	0.51932336
Kurtosis	-1.8537446
Mean	1106.2759
Median Absolute Deviation (MAD)	229
Skewness	0.19031619
Sum	14340654
Variance	330067.37
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1727	5654	43.6%
558	4682	36.1%
543	1220	9.4%
772	644	5.0%
791	437	3.4%
2253	112	0.9%
912	76	0.6%
1507	38	0.3%
1131	31	0.2%
137	24	0.2%
Other values (3)	45	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
137	24	0.2%
187	6	< 0.1%
543	1220	9.4%
558	4682	36.1%
649	20	0.2%
772	644	5.0%
791	437	3.4%
912	76	0.6%
1131	31	0.2%
1420	19	0.1%

Value	Count	Frequency (%)
2253	112	0.9%
1727	5654	43.6%
1507	38	0.3%
1420	19	0.1%
1131	31	0.2%
912	76	0.6%
791	437	3.4%
772	644	5.0%
649	20	0.2%
558	4682	36.1%

partyid_parlgov2
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.1%
Missing	6299
Missing (%)	48.6%
Infinite	0
Infinite (%)	0.0%
Mean	870.17651

Minimum	358
Maximum	2253
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	358
5-th percentile	558
Q1	808
median	808
Q3	808
95-th percentile	1180
Maximum	2253
Range	1895
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	245.48076
Coefficient of variation (CV)	0.28210457
Kurtosis	14.621432
Mean	870.17651
Median Absolute Deviation (MAD)	0
Skewness	3.1188733
Sum	5807558
Variance	60260.806
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
808	4542	35.0%
1180	1112	8.6%
558	477	3.7%
772	160	1.2%
791	159	1.2%
2253	112	0.9%
543	95	0.7%
358	17	0.1%
(Missing)	6299	48.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
358	17	0.1%
543	95	0.7%
558	477	3.7%
772	160	1.2%
791	159	1.2%
808	4542	35.0%
1180	1112	8.6%
2253	112	0.9%

Value	Count	Frequency (%)
2253	112	0.9%
1180	1112	8.6%
808	4542	35.0%
791	159	1.2%
772	160	1.2%
558	477	3.7%
543	95	0.7%
358	17	0.1%

id_de_parliament_string
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	4098
Distinct (%)	31.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11009738

Minimum	11000001
Maximum	66666664
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	11000001
5-th percentile	11000197
Q1	11000958
median	11001888
Q3	11002808
95-th percentile	11004297
Maximum	66666664
Range	55666663
Interquartile range (IQR)	1850

Descriptive statistics

Standard deviation	625963.25
Coefficient of variation (CV)	0.056855415
Kurtosis	6795.3146
Mean	11009738
Median Absolute Deviation (MAD)	926
Skewness	81.983015
Sum	1.4282934 × 10¹¹
Variance	3.9182999 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11001938	18	0.1%
11002531	17	0.1%
11001012	17	0.1%
11001512	16	0.1%
11000102	15	0.1%
11002525	14	0.1%
11001849	14	0.1%
11002270	14	0.1%
11000570	14	0.1%
11002444	13	0.1%
Other values (4088)	12821	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11000001	7	0.1%
11000002	6	< 0.1%
11000003	3	< 0.1%
11000004	2	< 0.1%
11000005	5	< 0.1%
11000007	4	< 0.1%
11000008	1	< 0.1%
11000009	7	0.1%
11000010	4	< 0.1%
11000011	4	< 0.1%

Value	Count	Frequency (%)
66666664	1	< 0.1%
55555556	1	< 0.1%
11004972	1	< 0.1%
11004971	1	< 0.1%
11004970	1	< 0.1%
11004969	1	< 0.1%
11004968	1	< 0.1%
11004967	1	< 0.1%
11004966	1	< 0.1%
11004962	1	< 0.1%

mp_id_old
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3588
Distinct (%)	31.9%
Missing	1735
Missing (%)	13.4%
Infinite	0
Infinite (%)	0.0%
Mean	66605.833

Minimum	10
Maximum	182832
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.5 KiB

Quantile statistics

Minimum	10
5-th percentile	1143
Q1	6171
median	71153.5
Q3	121739
95-th percentile	162679.3
Maximum	182832
Range	182822
Interquartile range (IQR)	115568

Descriptive statistics

Standard deviation	60465.146
Coefficient of variation (CV)	0.90780557
Kurtosis	-1.4593544
Mean	66605.833
Median Absolute Deviation (MAD)	62589.5
Skewness	0.25193154
Sum	7.4851635 × 10⁸
Variance	3.6560339 × 10⁹
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4307	17	0.1%
10756	17	0.1%
6475	16	0.1%
70012	15	0.1%
397	15	0.1%
9654	14	0.1%
2414	14	0.1%
10700	14	0.1%
9703	13	0.1%
7880	13	0.1%
Other values (3578)	11090	85.5%
(Missing)	1735	13.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	7	0.1%
14	6	< 0.1%
19	3	< 0.1%
25	4	< 0.1%
26	1	< 0.1%
30	7	0.1%
34	4	< 0.1%
37	1	< 0.1%
46	1	< 0.1%
51	1	< 0.1%

Value	Count	Frequency (%)
182832	1	< 0.1%
182828	1	< 0.1%
182803	1	< 0.1%
182787	1	< 0.1%
182781	3	< 0.1%
182773	3	< 0.1%
182771	1	< 0.1%
182734	4	< 0.1%
182733	1	< 0.1%
182686	2	< 0.1%

pers_id_pdbd
Text

Distinct	4071
Distinct (%)	31.5%
Missing	63
Missing (%)	0.5%
Memory size	101.5 KiB

Length

Max length	33
Median length	30
Mean length	21.939814
Min length	16

Characters and Unicode

Total characters	283243
Distinct characters	63
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1252 ?
Unique (%)	9.7%

Sample

1st row	DE_Abelein_Manfred_1930
2nd row	DE_Abelein_Manfred_1930
3rd row	DE_Abelein_Manfred_1930
4th row	DE_Abelein_Manfred_1930
5th row	DE_Abelein_Manfred_1930

Value	Count	Frequency (%)
de_schaeuble_wolfgang_1942	18	0.1%
de_wischnewski_hans_1922	17	0.1%
de_jahn_gerhard_1927	17	0.1%
de_mischnick_wolfgang_1921	16	0.1%
de_barzel_rainer_1924	15	0.1%
de_windelen_heinrich_1921	14	0.1%
de_riesenhuber_heinz_1935	14	0.1%
de_franke_egon_1913	14	0.1%
de_strauss_franz_1915	14	0.1%
de_wehner_herbert_1906	13	0.1%
Other values (4061)	12758	98.8%

Most occurring characters

Value	Count	Frequency (%)
_	38730	13.7%
e	22255	7.9%
r	16450	5.8%
1	15366	5.4%
9	14162	5.0%
E	14083	5.0%
D	13650	4.8%
a	12462	4.4%
n	12212	4.3%
i	9768	3.4%
Other values (53)	114105	40.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	141210	49.9%
Decimal Number	51651	18.2%
Uppercase Letter	51641	18.2%
Connector Punctuation	38730	13.7%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	22255	15.8%
r	16450	11.6%
a	12462	8.8%
n	12212	8.6%
i	9768	6.9%
l	8938	6.3%
t	8298	5.9%
h	6748	4.8%
s	6388	4.5%
o	6117	4.3%
Other values (16)	31574	22.4%

Uppercase Letter

Value	Count	Frequency (%)
E	14083	27.3%
D	13650	26.4%
H	3119	6.0%
S	2268	4.4%
K	2068	4.0%
W	1855	3.6%
M	1789	3.5%
B	1665	3.2%
G	1463	2.8%
R	1416	2.7%
Other values (15)	8265	16.0%

Decimal Number

Value	Count	Frequency (%)
1	15366	29.7%
9	14162	27.4%
4	3799	7.4%
3	3114	6.0%
2	3062	5.9%
5	3055	5.9%
8	2417	4.7%
0	2416	4.7%
6	2356	4.6%
7	1904	3.7%

Connector Punctuation

Value	Count	Frequency (%)
_	38730	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	192851	68.1%
Common	90392	31.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	22255	11.5%
r	16450	8.5%
E	14083	7.3%
D	13650	7.1%
a	12462	6.5%
n	12212	6.3%
i	9768	5.1%
l	8938	4.6%
t	8298	4.3%
h	6748	3.5%
Other values (41)	67987	35.3%

Common

Value	Count	Frequency (%)
_	38730	42.8%
1	15366	17.0%
9	14162	15.7%
4	3799	4.2%
3	3114	3.4%
2	3062	3.4%
5	3055	3.4%
8	2417	2.7%
0	2416	2.7%
6	2356	2.6%
Other values (2)	1915	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	283243	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	38730	13.7%
e	22255	7.9%
r	16450	5.8%
1	15366	5.4%
9	14162	5.0%
E	14083	5.0%
D	13650	4.8%
a	12462	4.4%
n	12212	4.3%
i	9768	3.4%
Other values (53)	114105	40.3%

id_de_manow
Text

MISSING

Distinct	3823
Distinct (%)	30.3%
Missing	343
Missing (%)	2.6%
Memory size	101.5 KiB

Length

Max length	13
Median length	12
Mean length	5.0754553
Min length	2

Characters and Unicode

Total characters	64103
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1032 ?
Unique (%)	8.2%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Value	Count	Frequency (%)
70012	18	0.1%
4307	17	0.1%
10756	17	0.1%
6475	16	0.1%
397	15	0.1%
10700	14	0.1%
7880	14	0.1%
2414	14	0.1%
9654	14	0.1%
70397	13	0.1%
Other values (3813)	12478	98.8%

Most occurring characters

Value	Count	Frequency (%)
1	13931	21.7%
2	7338	11.4%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64030	99.9%
Other Punctuation	73	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13931	21.8%
2	7338	11.5%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Other Punctuation

Value	Count	Frequency (%)
;	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64103	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	13931	21.7%
2	7338	11.4%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64103	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	13931	21.7%
2	7338	11.4%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Auto

Heatmap
Table

	id_de_parliament	elecper	year_birth	party_elec	party_elecdet	district_id	districtvote	closeness_district	list	listpos	listpos_total	elecsafe_district	elecsafe_list	elecsafe_overall	partyid_cmp	partyid_ches	partyid_parlgov	partyid_parlgov2	id_de_parliament_string	mp_id_old	gender	office_spell	mandate	mandate_detailed	dualcand	minister	junminister	parlpres	commchair	ppgchair	whip	partyid_bl
id_de_parliament	1.000	0.642	0.623	0.115	0.114	0.077	-0.416	-0.013	0.065	-0.054	-0.180	-0.060	-0.146	-0.258	-0.112	0.126	0.024	-0.276	1.000	0.620	0.000	0.000	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.000	1.000
elecper	0.642	1.000	0.921	0.102	0.101	0.140	-0.414	-0.021	0.083	-0.112	-0.204	-0.001	-0.119	-0.185	-0.129	0.077	0.054	-0.302	0.642	0.759	0.289	0.069	0.056	0.220	0.272	0.051	0.100	0.000	0.086	0.040	0.032	1.000
year_birth	0.623	0.921	1.000	0.116	0.115	0.158	-0.385	-0.019	0.092	-0.066	-0.230	-0.039	-0.154	-0.243	-0.158	0.099	0.034	-0.270	0.623	0.759	0.316	0.023	0.052	0.072	0.237	0.070	0.103	0.063	0.112	0.032	0.060	0.087
party_elec	0.115	0.102	0.116	1.000	0.999	0.143	0.002	0.103	0.015	-0.334	-0.330	-0.223	-0.131	-0.212	0.339	0.528	0.303	0.541	0.115	0.065	0.042	0.043	0.096	0.070	0.026	0.000	0.030	0.000	0.000	0.045	0.027	1.000
party_elecdet	0.114	0.101	0.115	0.999	1.000	0.143	0.002	0.103	0.016	-0.333	-0.330	-0.223	-0.131	-0.212	0.340	0.528	0.302	0.539	0.114	0.064	0.026	0.036	0.103	0.073	0.025	0.018	0.021	0.000	0.000	0.011	0.014	1.000
district_id	0.077	0.140	0.158	0.143	0.143	1.000	0.029	0.222	-0.058	-0.035	-0.052	0.034	-0.071	0.069	0.047	0.152	0.082	0.301	0.077	0.141	0.075	0.000	0.008	0.014	0.180	0.036	0.022	0.030	0.032	0.024	0.033	0.031
districtvote	-0.416	-0.414	-0.385	0.002	0.002	0.029	1.000	0.571	-0.186	0.193	0.377	0.771	-0.307	0.487	0.183	-0.122	0.175	0.474	-0.416	-0.236	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000
closeness_district	-0.013	-0.021	-0.019	0.103	0.103	0.222	0.571	1.000	-0.160	0.026	0.034	0.105	-0.166	0.193	0.087	0.229	0.099	0.205	-0.013	-0.106	0.051	0.000	0.062	0.036	0.275	0.045	0.004	0.000	0.041	0.000	0.000	0.000
list	0.065	0.083	0.092	0.015	0.016	-0.058	-0.186	-0.160	1.000	-0.513	-0.718	0.133	-0.224	-0.259	-0.026	-0.070	0.043	-0.141	0.065	0.197	0.054	0.000	0.120	0.074	0.224	0.040	0.016	0.006	0.035	0.023	0.060	0.000
listpos	-0.054	-0.112	-0.066	-0.334	-0.333	-0.035	0.193	0.026	-0.513	1.000	0.582	0.108	-0.278	-0.158	0.074	-0.210	0.074	0.175	-0.054	-0.020	0.124	0.058	0.223	0.166	0.115	0.123	0.061	0.069	0.042	0.149	0.079	0.172
listpos_total	-0.180	-0.204	-0.230	-0.330	-0.330	-0.052	0.377	0.034	-0.718	0.582	1.000	0.121	0.231	0.337	0.155	-0.206	0.037	0.235	-0.180	-0.262	0.145	0.019	0.166	0.098	0.156	0.070	0.051	0.037	0.021	0.041	0.046	0.306
elecsafe_district	-0.060	-0.001	-0.039	-0.223	-0.223	0.034	0.771	0.105	0.133	0.108	0.121	1.000	-0.424	0.248	0.283	-0.335	0.303	0.338	-0.060	-0.031	0.209	0.014	0.985	0.698	0.358	0.058	0.054	0.023	0.030	0.014	0.048	0.317
elecsafe_list	-0.146	-0.119	-0.154	-0.131	-0.131	-0.071	-0.307	-0.166	-0.224	-0.278	0.231	-0.424	1.000	0.632	-0.200	0.058	-0.243	-0.196	-0.146	-0.160	0.206	0.031	0.537	0.450	0.558	0.111	0.072	0.061	0.053	0.089	0.044	0.102
elecsafe_overall	-0.258	-0.185	-0.243	-0.212	-0.212	0.069	0.487	0.193	-0.259	-0.158	0.337	0.248	0.632	1.000	0.061	-0.102	0.009	0.173	-0.258	-0.253	0.090	0.033	0.293	0.496	0.142	0.095	0.090	0.054	0.085	0.070	0.016	0.204
partyid_cmp	-0.112	-0.129	-0.158	0.339	0.340	0.047	0.183	0.087	-0.026	0.074	0.155	0.283	-0.200	0.061	1.000	-0.453	0.718	0.751	-0.112	-0.168	0.272	0.037	0.428	0.220	0.363	0.081	0.048	0.027	0.019	0.127	0.115	1.000
partyid_ches	0.126	0.077	0.099	0.528	0.528	0.152	-0.122	0.229	-0.070	-0.210	-0.206	-0.335	0.058	-0.102	-0.453	1.000	-0.261	0.038	0.126	0.082	0.270	0.025	0.556	0.398	0.397	0.060	0.083	0.036	0.000	0.128	0.112	0.999
partyid_parlgov	0.024	0.054	0.034	0.303	0.302	0.082	0.175	0.099	0.043	0.074	0.037	0.303	-0.243	0.009	0.718	-0.261	1.000	0.759	0.024	-0.006	0.258	0.040	0.360	0.186	0.357	0.040	0.046	0.000	0.031	0.099	0.109	0.998
partyid_parlgov2	-0.276	-0.302	-0.270	0.541	0.539	0.301	0.474	0.205	-0.141	0.175	0.235	0.338	-0.196	0.173	0.751	0.038	0.759	1.000	-0.276	-0.027	0.211	0.064	0.302	0.161	0.310	0.065	0.040	0.038	0.026	0.041	0.037	1.000
id_de_parliament_string	1.000	0.642	0.623	0.115	0.114	0.077	-0.416	-0.013	0.065	-0.054	-0.180	-0.060	-0.146	-0.258	-0.112	0.126	0.024	-0.276	1.000	0.620	0.000	0.000	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.000	1.000
mp_id_old	0.620	0.759	0.759	0.065	0.064	0.141	-0.236	-0.106	0.197	-0.020	-0.262	-0.031	-0.160	-0.253	-0.168	0.082	-0.006	-0.027	0.620	1.000	0.310	0.039	0.135	0.143	0.269	0.083	0.065	0.045	0.073	0.025	0.051	0.110
gender	0.000	0.289	0.316	0.042	0.026	0.075	0.000	0.051	0.054	0.124	0.145	0.209	0.206	0.090	0.272	0.270	0.258	0.211	0.000	0.310	1.000	0.015	0.180	0.180	0.107	0.026	0.000	0.022	0.027	0.020	0.049	0.254
office_spell	0.000	0.069	0.023	0.043	0.036	0.000	0.000	0.000	0.000	0.058	0.019	0.014	0.031	0.033	0.037	0.025	0.040	0.064	0.000	0.039	0.015	1.000	0.029	0.032	0.047	0.132	0.192	0.070	0.217	0.159	0.125	0.000
mandate	0.000	0.056	0.052	0.096	0.103	0.008	0.000	0.062	0.120	0.223	0.166	0.985	0.537	0.293	0.428	0.556	0.360	0.302	0.000	0.135	0.180	0.029	1.000	1.000	0.161	0.055	0.041	0.018	0.043	0.000	0.032	0.463
mandate_detailed	0.000	0.220	0.072	0.070	0.073	0.014	0.000	0.036	0.074	0.166	0.098	0.698	0.450	0.496	0.220	0.398	0.186	0.161	0.000	0.143	0.180	0.032	1.000	1.000	0.292	0.062	0.059	0.025	0.076	0.052	0.045	0.335
dualcand	0.009	0.272	0.237	0.026	0.025	0.180	0.000	0.275	0.224	0.115	0.156	0.358	0.558	0.142	0.363	0.397	0.357	0.310	0.009	0.269	0.107	0.047	0.161	0.292	1.000	0.044	0.046	0.031	0.000	0.058	0.033	0.329
minister	0.000	0.051	0.070	0.000	0.018	0.036	0.000	0.045	0.040	0.123	0.070	0.058	0.111	0.095	0.081	0.060	0.040	0.065	0.000	0.083	0.026	0.132	0.055	0.062	0.044	1.000	0.033	0.013	0.042	0.031	0.026	0.110
junminister	0.000	0.100	0.103	0.030	0.021	0.022	0.000	0.004	0.016	0.061	0.051	0.054	0.072	0.090	0.048	0.083	0.046	0.040	0.000	0.065	0.000	0.192	0.041	0.059	0.046	0.033	1.000	0.016	0.046	0.044	0.021	0.200
parlpres	0.000	0.000	0.063	0.000	0.000	0.030	0.000	0.000	0.006	0.069	0.037	0.023	0.061	0.054	0.027	0.036	0.000	0.038	0.000	0.045	0.022	0.070	0.018	0.025	0.031	0.013	0.016	1.000	0.043	0.172	0.012	0.000
commchair	0.000	0.086	0.112	0.000	0.000	0.032	0.000	0.041	0.035	0.042	0.021	0.030	0.053	0.085	0.019	0.000	0.031	0.026	0.000	0.073	0.027	0.217	0.043	0.076	0.000	0.042	0.046	0.043	1.000	0.000	0.013	0.000
ppgchair	0.000	0.040	0.032	0.045	0.011	0.024	0.000	0.000	0.023	0.149	0.041	0.014	0.089	0.070	0.127	0.128	0.099	0.041	0.000	0.025	0.020	0.159	0.000	0.052	0.058	0.031	0.044	0.172	0.000	1.000	0.039	0.017
whip	0.000	0.032	0.060	0.027	0.014	0.033	0.000	0.000	0.060	0.079	0.046	0.048	0.044	0.016	0.115	0.112	0.109	0.037	0.000	0.051	0.049	0.125	0.032	0.045	0.033	0.026	0.021	0.012	0.013	0.039	1.000	0.050
partyid_bl	1.000	1.000	0.087	1.000	1.000	0.031	1.000	0.000	0.000	0.172	0.306	0.317	0.102	0.204	1.000	0.999	0.998	1.000	1.000	0.110	0.254	0.000	0.463	0.335	0.329	0.110	0.200	0.000	0.000	0.017	0.050	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	id_de_parliament	lastname	firstname	elecper	gender	year_birth	date_birth	date_birth_text	mandate_start	mandate_end	office_spell	spell_start	spell_end	party_elec	party_elecdet	mandate	mandate_detailed	dualcand	district_id	districtvote	closeness_district	list	listpos	listpos_total	elecsafe_district	elecsafe_list	elecsafe_overall	ppgchair	partyid_cmp	partyid_ches	partyid_bl	partyid_parlgov	partyid_parlgov2	id_de_parliament_string	mp_id_old	pers_id_pdbd	id_de_manow
0	11000001.0	Abelein	Manfred	8	1	1930	1930-10-20	20/10/1930	1976-12-14	1980-11-04	1.0	1976-12-14	1980-11-04	2	2.0	1	1	0	174.0	0.571	0.202897	NaN	NaN	NaN	0.982470	0.000000	0.982470	0	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
1	11000001.0	Abelein	Manfred	7	1	1930	1930-10-20	20/10/1930	1972-12-13	1976-12-13	1.0	1972-12-13	1976-12-13	2	2.0	1	1	0	174.0	0.531	0.114864	NaN	NaN	NaN	0.949556	0.000000	0.949556	0	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
2	11000001.0	Abelein	Manfred	11	1	1930	1930-10-20	20/10/1930	1987-02-18	1990-12-20	1.0	1987-02-18	1990-12-20	2	2.0	1	1	0	174.0	0.529	0.184236	NaN	NaN	NaN	0.991359	0.000000	0.991359	0	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
3	11000001.0	Abelein	Manfred	6	1	1930	1930-10-20	20/10/1930	1969-10-20	1972-09-22	1.0	1969-10-20	1972-09-22	2	2.0	1	1	0	174.0	0.567	0.224192	NaN	NaN	NaN	0.980323	0.000000	0.980323	0	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
4	11000001.0	Abelein	Manfred	9	1	1930	1930-10-20	20/10/1930	1980-11-04	1983-03-29	1.0	1980-11-04	1983-03-29	2	2.0	1	1	0	174.0	0.535	0.154658	NaN	NaN	NaN	0.963592	0.000000	0.963592	0	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
5	11000001.0	Abelein	Manfred	5	1	1930	1930-10-20	20/10/1930	1965-10-19	1969-10-19	1.0	1965-10-19	1969-10-19	2	2.0	1	1	0	174.0	0.577	0.276113	NaN	NaN	NaN	0.991272	0.000000	0.991272	0	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
6	11000001.0	Abelein	Manfred	10	1	1930	1930-10-20	20/10/1930	1983-03-29	1987-02-17	1.0	1983-03-29	1987-02-17	2	2.0	1	1	0	174.0	0.585	0.241266	NaN	NaN	NaN	0.991784	0.000000	0.991784	0	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
7	11000002.0	Achenbach	Ernst	5	1	1909	1909-04-09	09/04/1909	1965-10-19	1969-10-19	1.0	1965-10-19	1969-10-19	4	4.0	0	2	1	97.0	NaN	0.191258	1.0	7.0	45.0	0.000457	0.994721	0.994723	0	41420.0	NaN	NaN	543.0	NaN	11000002	14.0	DE_Achenbach_Ernst_1909	14
8	11000002.0	Achenbach	Ernst	4	1	1909	1909-04-09	09/04/1909	1961-10-17	1965-10-17	1.0	1961-10-17	1965-10-17	4	4.0	0	2	1	99.0	NaN	0.088874	1.0	6.0	61.0	0.003820	0.989941	0.989979	0	41420.0	NaN	NaN	543.0	NaN	11000002	14.0	DE_Achenbach_Ernst_1909	14
9	11000002.0	Achenbach	Ernst	6	1	1909	1909-04-09	09/04/1909	1969-10-20	1972-09-22	2.0	1971-12-07	1972-09-22	4	4.0	0	2	1	97.0	NaN	0.245191	1.0	9.0	56.0	0.000212	0.916057	0.916075	1	41420.0	NaN	NaN	543.0	NaN	11000002	14.0	DE_Achenbach_Ernst_1909	14

	id_de_parliament	lastname	firstname	elecper	gender	year_birth	date_birth	date_birth_text	mandate_start	mandate_end	office_spell	spell_start	spell_end	party_elec	party_elecdet	mandate_detailed	dualcand	district_id	districtvote	closeness_district	list	listpos	listpos_total	elecsafe_district	elecsafe_list	elecsafe_overall	partyid_cmp	partyid_ches	partyid_bl	partyid_parlgov	partyid_parlgov2	id_de_parliament_string	mp_id_old	pers_id_pdbd	id_de_manow
12963	11004962.0	Dahmen	Janosch	19	1	1981	1981-09-06	06/09/1981	2020-11-12	2021-10-26	1.0	2020-11-12	2021-10-26	5	5.0	4	1	139.0	0.085864	0.281263	1.0	14.0	39.0	0.000743	0.342778	0.343266	41113.0	304.0	NaN	772.0	772.0	11004962	NaN	NaN	NaN
12964	11004966.0	Nordt	Kristina	19	0	1982	1982-02-17	17/02/1982	2021-03-22	2021-10-26	1.0	2021-03-22	2021-10-26	2	2.0	4	0	NaN	NaN	NaN	12.0	6.0	13.0	0.000000	0.000272	0.000272	41521.0	301.0	NaN	1727.0	808.0	11004966	NaN	NaN	NaN
12965	11004967.0	Friemann-Jennert	Maika	19	0	1964	1964-06-24	24/06/1964	2021-04-07	2021-10-26	1.0	2021-04-07	2021-10-26	2	2.0	4	0	NaN	NaN	NaN	14.0	7.0	11.0	0.000000	0.000085	0.000085	41521.0	301.0	NaN	1727.0	808.0	11004967	NaN	NaN	NaN
12966	11004968.0	Gohl	Christopher	19	1	1974	1974-05-23	23/05/1974	2021-05-01	2021-10-26	1.0	2021-05-01	2021-10-26	4	4.0	4	1	290.0	0.079046	0.277787	3.0	13.0	37.0	0.000347	0.261055	0.261311	41420.0	303.0	NaN	543.0	543.0	11004968	NaN	NaN	NaN
12967	11004969.0	Emmerich	Marcel	19	1	1991	1991-05-12	12/05/1991	2021-06-01	2021-10-26	1.0	2021-06-01	2021-10-26	5	5.0	4	1	291.0	0.119639	0.306987	3.0	16.0	40.0	0.000163	0.015896	0.016056	41113.0	304.0	NaN	772.0	772.0	11004969	NaN	NaN	NaN
12968	11004970.0	Susanne	Wetterich	19	0	1956	1956-04-21	21/04/1956	2021-07-01	2021-10-26	1.0	2021-07-01	2021-10-26	2	2.0	4	0	NaN	NaN	NaN	3.0	11.0	60.0	0.000000	0.196396	0.196396	41521.0	301.0	NaN	1727.0	808.0	11004970	NaN	NaN	NaN
12969	11004971.0	Florian	J��ger	19	1	1971	1971-01-18	18/01/1971	2021-07-20	2021-10-26	1.0	2021-07-20	2021-10-26	19	19.0	4	1	215.0	0.102229	0.334126	2.0	15.0	NaN	0.000040	0.142462	0.142496	41953.0	310.0	NaN	2253.0	2253.0	11004971	NaN	NaN	NaN
12970	11004972.0	Zeki	G��khan	19	1	1956	1956-02-12	12/02/1956	2021-08-19	2021-10-26	1.0	2021-08-19	2021-10-26	6	6.0	4	1	91.0	0.045368	0.346558	1.0	14.0	30.0	0.000153	0.046013	0.046159	41222.0	306.0	NaN	791.0	791.0	11004972	NaN	NaN	NaN
12971	55555556.0	Hinz	Peter	18	1	1958	1958-04-10	10/04/1958	2013-10-27	2013-10-22	1.0	2013-10-27	2013-10-22	2	2.0	2	0	NaN	NaN	NaN	3.0	16.0	55.0	0.000000	0.171648	0.171648	41521.0	301.0	NaN	1727.0	808.0	55555556	NaN	NaN	NaN
12972	66666664.0	Bernd	Buchholz	19	1	1961	1961-11-02	02/11/1961	2017-10-24	2017-10-24	1.0	2017-10-24	2017-10-24	4	4.0	2	1	10.0	0.082262	0.312685	9.0	2.0	10.0	0.000096	0.767055	0.767078	41420.0	303.0	NaN	543.0	543.0	66666664	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Close Punctuation

Open Punctuation

Other Symbol

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Specials

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Other Symbol

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Specials

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values